AI tutorials
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Revision as of 15:24, 9 December 2024 by
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Contents
1
General
2
Loss Functions
3
Transformer
3.1
Visualizations
4
Other Visualizations
General
MLU-EXPLAIN
Loss Functions
Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names
Transformer
Wolfram:
What Is ChatGPT Doing … and Why Does It Work?
The Illustrated Transformer
Transformers Explained Visually — Not Just How, but Why They Work So Well
Visualizations
LLM Visualization
Other Visualizations
Inside the Matrix: Visualizing Matrix Multiplication, Attention and Beyond
Neural network training makes beautiful fractals
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